{"id":"W2134403943","doi":"10.5555/1898953.1898988","title":"A new analytical method for parallel, diffusion-type load balancing","year":2006,"lang":"en","type":"article","venue":"International Parallel and Distributed Processing Symposium","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Load balancing (electrical power); Mathematical proof; Distributed computing; Key (lock); Obstacle; Type (biology); Parallel computing; Algorithm; Theoretical computer science; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003208644,0.0002703913,0.0003205905,0.00007785796,0.0002519281,0.0007309319,0.0006994467,0.000137954,0.00001192407],"category_scores_gemma":[0.0000713766,0.0002396998,0.0001068828,0.0003381375,0.00003861314,0.0005839753,0.0001699596,0.0001411504,0.00001178657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001315878,"about_ca_system_score_gemma":0.0003075358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003706295,"about_ca_topic_score_gemma":0.00003179935,"domain_scores_codex":[0.9978498,0.00003646026,0.0005228794,0.0006518884,0.0005211336,0.000417897],"domain_scores_gemma":[0.9986892,0.000129814,0.0002182724,0.0002515799,0.0005234338,0.0001877374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009840329,0.0009966275,0.01764012,0.0004783159,0.0003695304,0.0001381679,0.0007745358,0.05767729,0.0108928,0.5719923,0.2438919,0.09416441],"study_design_scores_gemma":[0.001803991,0.00007542222,0.003041991,0.0001221851,0.00002658689,0.00009485984,0.0000237504,0.8210691,0.00006541335,0.01361461,0.1596494,0.0004126785],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0007799499,0.0008768089,0.9886703,0.006186214,0.0005776375,0.0002280859,0.0001160429,0.0001878769,0.002377099],"genre_scores_gemma":[0.6749613,0.00004661796,0.3183903,0.0005361777,0.0008955786,0.00006702741,0.0006881653,0.00002863142,0.004386235],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7633918,"threshold_uncertainty_score":0.9774675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01096307121874041,"score_gpt":0.2826374801134162,"score_spread":0.2716744088946758,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}